Wei Xu

Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing

In this paper, we consider a platform of flying mobile edge computing (F...
11/10/2019 ∙ by Liang Wang, et al. ∙ 41 ∙ share

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The ALOS Dataset for Advert Localization in Outdoor Scenes

The rapid increase in the number of online videos provides the marketing...
04/16/2019 ∙ by Soumyabrata Dev, et al. ∙ 12 ∙ share

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CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation

Histopathology image analysis plays a critical role in cancer diagnosis ...
08/28/2019 ∙ by Gang Xu, et al. ∙ 12 ∙ share

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Localizing Adverts in Outdoor Scenes

Online videos have witnessed an unprecedented growth over the last decad...
05/06/2019 ∙ by Soumyabrata Dev, et al. ∙ 10 ∙ share

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The CASE Dataset of Candidate Spaces for Advert Implantation

With the advent of faster internet services and growth of multimedia con...
03/21/2019 ∙ by Soumyabrata Dev, et al. ∙ 4 ∙ share

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Identifying Candidate Spaces for Advert Implantation

Virtual advertising is an important and promising feature in the area of...
10/08/2019 ∙ by Soumyabrata Dev, et al. ∙ 3 ∙ share

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An Optimization Framework For Online Ride-sharing Markets

Taxi services and product delivery services are instrumental for our mod...
12/12/2016 ∙ by Yongzheng Jia, et al. ∙ 0 ∙ share

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DeepTransport: Learning Spatial-Temporal Dependency for Traffic Condition Forecasting

Predicting traffic conditions has been recently explored as a way to rel...
09/27/2017 ∙ by Xingyi Cheng, et al. ∙ 0 ∙ share

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Occlusion Aware Unsupervised Learning of Optical Flow

It has been recently shown that a convolutional neural network can learn...
11/16/2017 ∙ by Yang Wang, et al. ∙ 0 ∙ share

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Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency

Learning to reconstruct depths in a single image by watching unlabeled v...
11/10/2017 ∙ by Zhenheng Yang, et al. ∙ 0 ∙ share

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Unsupervised Learning Layers for Video Analysis

This paper presents two unsupervised learning layers (UL layers) for lab...
05/24/2017 ∙ by Liang Zhao, et al. ∙ 0 ∙ share

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Dynamic Computational Time for Visual Attention

We propose a dynamic computational time model to accelerate the average ...
03/30/2017 ∙ by Zhichao Li, et al. ∙ 0 ∙ share

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A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization

In modern large-scale machine learning applications, the training data a...
04/13/2016 ∙ by Shun Zheng, et al. ∙ 0 ∙ share

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Automatically Building Face Datasets of New Domains from Weakly Labeled Data with Pretrained Models

Training data are critical in face recognition systems. However, labelin...
11/24/2016 ∙ by Shengyong Ding, et al. ∙ 0 ∙ share

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Deep Joint Face Hallucination and Recognition

Deep models have achieved impressive performance for face hallucination ...
11/24/2016 ∙ by Junyu Wu, et al. ∙ 0 ∙ share

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CNN-RNN: A Unified Framework for Multi-label Image Classification

While deep convolutional neural networks (CNNs) have shown a great succe...
04/15/2016 ∙ by Jiang Wang, et al. ∙ 0 ∙ share

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Attention to Scale: Scale-aware Semantic Image Segmentation

Incorporating multi-scale features in fully convolutional neural network...
11/10/2015 ∙ by Liang-Chieh Chen, et al. ∙ 0 ∙ share

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Explain Images with Multimodal Recurrent Neural Networks

In this paper, we present a multimodal Recurrent Neural Network (m-RNN) ...
10/04/2014 ∙ by Junhua Mao, et al. ∙ 0 ∙ share

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A Data-Driven Approach for Mapping Multivariate Data to Color

A wide variety of color schemes have been devised for mapping scalar dat...
08/20/2016 ∙ by Shenghui Cheng, et al. ∙ 0 ∙ share

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A Continuously Growing Dataset of Sentential Paraphrases

A major challenge in paraphrase research is the lack of parallel corpora...
08/01/2017 ∙ by Wuwei Lan, et al. ∙ 0 ∙ share

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Listen, Interact and Talk: Learning to Speak via Interaction

One of the long-term goals of artificial intelligence is to build an age...
05/28/2017 ∙ by Haichao Zhang, et al. ∙ 0 ∙ share

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A Deep Compositional Framework for Human-like Language Acquisition in Virtual Environment

We tackle a task where an agent learns to navigate in a 2D maze-like env...
03/28/2017 ∙ by Haonan Yu, et al. ∙ 0 ∙ share

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Discovering Conversational Dependencies between Messages in Dialogs

We investigate the task of inferring conversational dependencies between...
12/08/2016 ∙ by Wenchao Du, et al. ∙ 0 ∙ share

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Neural Machine Translation with Pivot Languages

While recent neural machine translation approaches have delivered state-...
11/15/2016 ∙ by Yong Cheng, et al. ∙ 0 ∙ share

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TweeTime: A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter

We describe TweeTIME, a temporal tagger for recognizing and normalizing ...
08/09/2016 ∙ by Jeniya Tabassum, et al. ∙ 0 ∙ share

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Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question Answering

While question answering (QA) with neural network, i.e. neural QA, has a...
07/21/2016 ∙ by Peng Li, et al. ∙ 0 ∙ share

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Semi-Supervised Learning for Neural Machine Translation

While end-to-end neural machine translation (NMT) has made remarkable pr...
06/15/2016 ∙ by Yong Cheng, et al. ∙ 0 ∙ share

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Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation

Neural machine translation (NMT) aims at solving machine translation (MT...
06/14/2016 ∙ by Jie Zhou, et al. ∙ 0 ∙ share

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CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases

How can we enable computers to automatically answer questions like "Who ...
06/07/2016 ∙ by Zihang Dai, et al. ∙ 0 ∙ share

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Bidirectional LSTM-CRF Models for Sequence Tagging

In this paper, we propose a variety of Long Short-Term Memory (LSTM) bas...
08/09/2015 ∙ by Zhiheng Huang, et al. ∙ 0 ∙ share

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Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images

In this paper, we address the task of learning novel visual concepts, an...
04/25/2015 ∙ by Junhua Mao, et al. ∙ 0 ∙ share

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Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)

In this paper, we present a multimodal Recurrent Neural Network (m-RNN) ...
12/20/2014 ∙ by Junhua Mao, et al. ∙ 0 ∙ share

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Energy Efficient Resource Allocation in Machine-to-Machine Communications with Multiple Access and Energy Harvesting for IoT

This paper studies energy efficient resource allocation for a machine-to...
11/29/2017 ∙ by Zhaohui Yang, et al. ∙ 0 ∙ share

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Framework of Channel Estimation for Hybrid Analog-and-Digital Processing Enabled Massive MIMO Communications

We investigate a general channel estimation problem in the massive multi...
12/23/2017 ∙ by Leyuan Pan, et al. ∙ 0 ∙ share

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ICFVR 2017: 3rd International Competition on Finger Vein Recognition

In recent years, finger vein recognition has become an important sub-fie...
01/04/2018 ∙ by Yi Zhang, et al. ∙ 0 ∙ share

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Interactive Grounded Language Acquisition and Generalization in a 2D World

We build a virtual agent for learning language in a 2D maze-like world. ...
01/31/2018 ∙ by Haonan Yu, et al. ∙ 0 ∙ share

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Optimal Fairness-Aware Time and Power Allocation in Wireless Powered Communication Networks

In this paper, we consider the sum α-fair utility maximization problem f...
02/14/2018 ∙ by Zhaohui Yang, et al. ∙ 0 ∙ share

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Learning to Explore with Meta-Policy Gradient

The performance of off-policy learning, including deep Q-learning and de...
03/13/2018 ∙ by Tianbing Xu, et al. ∙ 0 ∙ share

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LEGO: Learning Edge with Geometry all at Once by Watching Videos

Learning to estimate 3D geometry in a single image by watching unlabeled...
03/15/2018 ∙ by Zhenheng Yang, et al. ∙ 0 ∙ share

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PrivPy: Enabling Scalable and General Privacy-Preserving Computation

We introduce PrivPy, a practical privacy-preserving collaborative comput...
01/30/2018 ∙ by Yi Li, et al. ∙ 0 ∙ share

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Gosig: Scalable Byzantine Consensus on Adversarial Wide Area Network for Blockchains

Existing Byzantine fault tolerance (BFT) protocols face significant chal...
02/05/2018 ∙ by Peilun Li, et al. ∙ 0 ∙ share

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Compressive Sensing Based User Clustering for Downlink NOMA Systems with Decoding Power

This letter investigates joint power control and user clustering for dow...
03/13/2018 ∙ by Zhaohui Yang, et al. ∙ 0 ∙ share

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Robust Transmission Design for Multi-Cell D2D Underlaid Cellular Networks

This paper investigates the robust transmission design (RTD) of a multi-...
04/14/2018 ∙ by Hao Xu, et al. ∙ 0 ∙ share

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Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game

Building intelligent agents that can communicate with and learn from hum...
04/26/2018 ∙ by Haichao Zhang, et al. ∙ 0 ∙ share

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Robust Beamforming with Pilot Reuse Scheduling in a Heterogeneous Cloud Radio Access Network

This paper considers a downlink ultra-dense heterogeneous cloud radio ac...
04/23/2018 ∙ by Hao Xu, et al. ∙ 0 ∙ share

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An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols

We describe an effort to annotate a corpus of natural language instructi...
05/01/2018 ∙ by Chaitanya Kulkarni, et al. ∙ 0 ∙ share

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DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map

For applications such as autonomous driving, self-localization/camera po...
05/13/2018 ∙ by Peng Wang, et al. ∙ 0 ∙ share

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Character-based Neural Networks for Sentence Pair Modeling

Sentence pair modeling is critical for many NLP tasks, such as paraphras...
05/21/2018 ∙ by Wuwei Lan, et al. ∙ 0 ∙ share

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BadLink: Combining Graph and Information-Theoretical Features for Online Fraud Group Detection

Frauds severely hurt many kinds of Internet businesses. Group-based frau...
05/25/2018 ∙ by Yikun Ban, et al. ∙ 0 ∙ share

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Every Pixel Counts: Unsupervised Geometry Learning with Holistic 3D Motion Understanding

Learning to estimate 3D geometry in a single image by watching unlabeled...
06/27/2018 ∙ by Zhenheng Yang, et al. ∙ 0 ∙ share

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Wei Xu

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